Now showing items 1-3 of 3

    • Deep learning macroeconomics 

      Guimarães, Rafael Rockenbach da Silva (2022) [Dissertation]
      Limited datasets and complex nonlinear relationships are among the challenges that may emerge when applying econometrics to macroeconomic problems. This research proposes deep learning as an approach to transfer learning ...
    • Statistical learning and causal effects : an application to Bolsa Família Program 

      Silva, Jeudi Rufino Fernandes da (2023) [Dissertation]
      In this work we employ a study of statistical and machine learning methods for heterogenous treatment effect. Heterogenous treatment effect is also called Conditional Average Treatment Effect (CATE). We analyze general ...
    • The role of gender in brazilian academic achievement : inequality and peer effects 

      Tillmann, Eduardo André (2018) [Thesis]
      The aim of this research is to analyze the role of gender on scholastic achievement in Brazil, emphasizing inequalities and peer effects. These issues are analyzed in five chapters, including the introduction and the ...